{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:09:53Z","timestamp":1783613393224,"version":"3.55.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"DOI":"10.1109\/iscmi63661.2024.10851608","type":"proceedings-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T18:34:35Z","timestamp":1738089275000},"page":"117-123","source":"Crossref","is-referenced-by-count":28,"title":["Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting"],"prefix":"10.1109","author":[{"given":"Xiaojing","family":"Fan","sequence":"first","affiliation":[{"name":"New York University,New York City,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunliang","family":"Tao","sequence":"additional","affiliation":[{"name":"New York University,New York City,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"New York University,New York City,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2022.08.010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3309547"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2006.00885.x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04266-y"},{"issue":"3","key":"ref5","first-page":"32","article-title":"Stock price prediction using k-nearest neighbor (knn) algorithm","volume":"3","author":"Alkhatib","year":"2013","journal-title":"International Journal of Business, Humanities and Technology"},{"issue":"2","key":"ref6","first-page":"98","article-title":"Stock price prediction using arima model","volume":"2","author":"Khanderwal","year":"2021","journal-title":"International Journal of Marketing & Human Resource Research"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115716"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2400218"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EEI63073.2024.10695966"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/NILES50944.2020.9257950"},{"key":"ref13","first-page":"88","article-title":"Stock price prediction using machine learning and 1stm-based deep learning models","volume-title":"Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, SoMMA 2020","author":"Mehtab"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109830"},{"issue":"3","key":"ref15","first-page":"115","article-title":"Learning precise timing with 1stm recurrent networks","author":"Gers","year":"2002","journal-title":"Journal of machine learning research"},{"key":"ref16","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv preprint arXiv:1803.01271"},{"key":"ref17","article-title":"xlstm: Extended long short-term memory","author":"Beck","year":"2024","journal-title":"arXiv preprint arXiv:2405.04517"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/ai5030071"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/DOCS63458.2024.10704454"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICETCI61221.2024.10594605"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3694860.3694870"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5220\/0011362000003440"},{"key":"ref23","article-title":"Hedge fund portfolio construction using polymodel theory and itransformer","author":"Zhao","year":"2024","journal-title":"arXiv preprint arXiv:2408.03320"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BDAI62182.2024.10692581"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3639592.3639600"},{"key":"ref26","article-title":"Prediction of car purchase amount based on genetic algorithm optimised bp neural network regression algorithm","author":"Chen","year":"2024","journal-title":"Preprints"},{"key":"ref27","article-title":"Efficient two-stage gaussian process regression via automatic kernel search and subsampling","author":"Zhao","year":"2024","journal-title":"arXiv preprint arXiv:2405.13785"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/1912773"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/for.3980040103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706743"},{"key":"ref31","article-title":"Predicting the direction of stock market prices using random forest","author":"Khaidem","year":"2016","journal-title":"arXiv preprint arXiv:1605.00003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45249-9_9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1117\/12.3053114"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MLISE62164.2024.10674119"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.54254\/2755-2721\/76\/20240574"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CISCE62493.2024.10653353"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging10100248"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2023.134837"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ISPDS62779.2024.10667569"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MetaCom62920.2024.00064"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.11.054"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0180944"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1406.1078"},{"key":"ref46","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref47","article-title":"Yahoo finance historical stock data","year":"2024"}],"event":{"name":"2024 11th International Conference on Soft Computing &amp; Machine Intelligence (ISCMI)","location":"Melbourne, Australia","start":{"date-parts":[[2024,11,22]]},"end":{"date-parts":[[2024,11,23]]}},"container-title":["2024 11th International Conference on Soft Computing &amp;amp; Machine Intelligence (ISCMI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10851463\/10851482\/10851608.pdf?arnumber=10851608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T18:44:57Z","timestamp":1738176297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10851608\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,22]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/iscmi63661.2024.10851608","relation":{},"subject":[],"published":{"date-parts":[[2024,11,22]]}}}